Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cyborg-garden/hermes-agent-mt --skill xlsxgit clone --depth 1 https://github.com/cyborg-garden/hermes-agent-mtWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/xlsx)<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/xlsx"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/xlsx/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cyborg-garden/hermes-agent-mt/xlsx"><img src="https://agentmods.dev/badge/skills/cyborg-garden/hermes-agent-mt/xlsx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.02581 |
| Opus 5.5 | $0.00006 | $0.01032 |
| Sonnet 5.5 | $0.00003 | $0.00516 |
| Haiku 4.5 | $0.00002 | $0.00258 |
Grade A, and why
xlsx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to xlsx — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Xlsx Skill
Work with Excel .xlsx workbooks using Python and openpyxl: build styled multi-sheet workbooks with formulas and charts, inspect or dump existing files, edit cells and structure, and convert to/from CSV. All helper scripts are argparse CLIs that print JSON and use explicit UTF-8 I/O.
When to Use
- Creating .xlsx reports: multiple sheets, number formats, styling, merged cells, freeze panes, autofilter, conditional formatting, charts, data-validation dropdowns, native Excel tables, defined names, hyperlinks, cell notes, sheet protection.
- Reading a workbook: sheet inventory, dumping data as JSON or CSV, listing formulas vs cached values, notes, defined names, tables.
- Editing existing files: set cells, append rows, insert/delete
rows/columns (reference-aware via
xlsx_restructure.py), copy/rename sheets, tables, names, notes, protection. - Recalculating formulas headlessly via LibreOffice
(
xlsx_recalc.py). - CSV interop with type inference and non-UTF-8 encodings.
- Not for the legacy .xls binary format (use LibreOffice to convert
first:
soffice --headless --convert-to xlsx old.xls).
Prerequisites
- Python 3.10+ with
openpyxl(pip install openpyxl). No other third-party packages are needed; everything else is stdlib. - Optional: LibreOffice (
soffice) for headless recalculation or format conversion.
How to Run
Run the helper scripts with the terminal tool from this skill's
scripts/ directory (every script supports --help):
python scripts/xlsx_create.py spec.json report.xlsx # build from JSON spec
python scripts/xlsx_read.py report.xlsx --sheets # inventory
python scripts/xlsx_read.py report.xlsx --json --sheet Data
python scripts/xlsx_read.py report.xlsx --formulas
python scripts/xlsx_edit.py report.xlsx --sheet Data --set B2=42 --recalc
python scripts/xlsx_restructure.py report.xlsx --sheet Data --insert-rows 3:2
python scripts/xlsx_recalc.py report.xlsx
python scripts/csv_to_xlsx.py data.csv out.xlsx --encoding utf-8
python scripts/xlsx_to_csv.py report.xlsx out.csv --sheet Data
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- LICENSE 1.0 KB
- references/restructuring.md 3.6 KB
- scripts/csv_to_xlsx.py 3.3 KB runs code
- scripts/xlsx_create.py 9.6 KB runs code
- scripts/xlsx_edit.py 11 KB runs code
- scripts/xlsx_read.py 5.7 KB runs code
- scripts/xlsx_recalc.py 4.1 KB runs code
- scripts/xlsx_restructure.py 13 KB runs code
- scripts/xlsx_to_csv.py 2.3 KB runs code
- tests/test_xlsx_skill.py 21 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today First seen · 197 lines · 16 tokens per session scan A b302d7ac9978
xlsx is a skill published in the GitHub repository cyborg-garden/hermes-agent-mt (14 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 2,581 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to xlsx, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
document-exports
Generate and TEST downloadable document exports (PDF/CSV) from a Node/Express backend — pdfkit streaming, CSV BOM, cents formatting, and the supertest/pdfkit pitfalls that silently break tests.
xlsx-data-wrangling
Query, validate, clean, and manipulate Excel (.xlsx/.xls) spreadsheets programmatically without GUI using pandas, openpyxl, and polars.
surfsense-documents
Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
surfsense-data
Work out numbers from spreadsheet and CSV sources (.xlsx, .csv, .tsv) by writing a pandas script that surfsenseanalyzedata runs: totals, averages, trends, rankings, comparisons, cleaning, and charts that can go into a document. Load it whenever the user asks for figures from a table, or a chart of one.
gog-workspace
Use the gog CLI for Google Workspace tasks across Gmail, Calendar, Drive, Docs, Sheets, Contacts, and related services. Use when the user asks to check email, search Gmail, inspect calendar events, find Drive files, read Docs or Sheets, or manage Google Workspace data through gog.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.